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Provenance for Biomedical Ontologies with RDF and Git

机译:与RDF和Git的生物医学本体论的出处

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The German Center for Lung Research (DZL) is a research network with the aim of researching respiratory diseases. In order to enable consortiumwide retrospective research and prospective patient recruitment, we perform data integration into a central data warehouse. The enhancements of the underlying ontology is an ongoing process for which we developed the Collaborative Metadata Repository (CoMetaR) tool. Its technical infrastructure is based on the Resource Description Framework (RDF) for ontology representation and the distributed version control system Git for storage and versioning. Ontology development involves a considerable amount of data curation. Data provenance improves its feasibility and quality. Especially in collaborative metadata development, a comprehensive annotation about “who contributed what, when and why” is essential. Although RDF and Git versioning repositories are commonly used, no existing solution captures metadata provenance information in sufficient detail. We propose an enhanced composition of standardized RDF statements for detailed provenance representation. Additionally, we developed an algorithm that extracts and translates provenance data from the repository into the proposed RDF statements.
机译:德国肺部研究中心(DZL)是一项具有研究呼吸系统疾病的研究网络。为了启用联盟的回顾性研究和潜在患者招聘,我们将数据集成到中央数据仓库中。底层本体的增强是我们开发了协作元数据存储库(COMETAR)工具的持续进程。其技术基础设施基于用于本体表示的资源描述框架(RDF)和用于存储和版本控制的分布式版本控制系统Git。本体开发涉及相当大量的数据策策。数据出处可以提高其可行性和质量。特别是在协作元数据开发中,关于“撰写的,何时和为什么”至关重要的全面注释。虽然常用RDF和GIT版本控制存储库,但没有现有的解决方案以足够的细节捕获元数据的出处信息。我们提出了一个增强的标准化RDF陈述的组成,以进行详细的出处表示。此外,我们开发了一种提取和将来自存储库的出处数据提取的算法,进入所提出的RDF语句。

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